Go Accelerate ­ 去加速

mobility industry network

Mon, November 26 2018

Mon, November 26 2018

IT creates solutions to the mobility industry

The mobility is coming under great pressure because of the growth of welfare in Europe. The infrastructure has reached its limit. The roads are full. That’s why we need to find new ways to relieve some of that pressure connected to mobility and we try to do that with innovations in IT. These innovations are needed to keep the mobility industry efficient and reliable with an eye on sustainable development. Key factor are the cooperation of organization and the digitalization of that mobility. In this post we will look at 3 examples of how IT improves the mobility of people.

Sensor to service
Every little piece of technology has data that we can extract. From the phone in your pocket to the laptop you are working on, to the car you are driving. All these technologies provide data that can ultimately help into a better mobility. For example the car you are driving can give us data about the speed, roadblocks, the weather and use of fuel. With these data we can write reports and with these reports you can make analyses which ultimately can lead to better service. In addition to making things better, this also leads to new services which fit the contemporary mobility industry better.

Advanced analytics
When you have your data as described above, it’s time to extract the data and make an advance analysis. Don’t just look at the data for an individual, but with this technology you can analyze that data in a frame that would benefit everyone. If we follow the example of the car, the data extracted from that car about speed and time and traffic stops, can tell us all about the capacity of that piece of territory. That data can provide vital information for transport companies and that they might avoid a certain time on a day to transport their goods, because it’s very busy on the roads.

Artificial intelligence
The third example of how IT can improve the mobility of people, is artificial intelligence. With the previous two examples we have seen how one can make mobility better by learning from human errors and how our behavior can lead to certain problems and solutions. Artificial intelligence in mobility doesn’t focus on the human behavior as such, but tries to create an own form of intelligence. Companies are trying to get public transport ride on its and even try to accomplish the same for trucks. Right now this is all planning for the future and it has been on the agendas for quite some time, but it could affect the mobility industry hugely in the years to come.

The mobility industry has a few tough nuts to crack in the coming years with welfare growing in Europe, which leads to the need of solutions. There are several solutions at hand, but the most important thing to get out of this, is that IT and the mobility industry work together. Not only do they work together, but they also influence each other. Together they will find a solution into a more sustainable and safe mobility.